Identification of a nomogram based on long non-coding RNA to improve prognosis prediction of esophageal squamous cell carcinoma-Reference-Cited by-同舟云学术

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Identification of a nomogram based on long non-coding RNA to improve prognosis prediction of esophageal squamous cell carcinoma

Published:2020-01-24 Issue:2 Volume:12 Page:1512-1526
ISSN:1945-4589
Container-title:Aging
language:en
Short-container-title:Aging

Author:

Li Wenli¹,Liu Jun²,Zhao Hetong³

Affiliation:

1. Reproductive Medicine Center, Yue Bei People’s Hospital, Shantou University Medical College, Shaoguan, Guangdong, China

2. Department of Clinical Laboratory, Yue Bei People’s Hospital, Shantou University Medical College, Shaoguan, Guangdong, China

3. Department of Traditional Chinese Medicine, Changhai Hospital, Naval Military Medical University, Shanghai, China

Publisher

Impact Journals, LLC

Subject

Cell Biology,Aging

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Construction of an immune‐related prognostic model and potential drugs screening for esophageal cancer based on bioinformatics analyses and network pharmacology;Immunity, Inflammation and Disease;2024-05

2. AURKA knockdown inhibits esophageal squamous cell carcinoma progression through ferroptosis;Heliyon;2024-04

3. Development and validation of a prognostic prediction model for cervical cancer patients treated with radical radiotherapy: a study based on TCGA database;Translational Cancer Research;2024-04

4. Aurka Knockdown Inhibits Esophageal Squamous Cell Carcinoma Progression Through Ferroptosis;2024

5. Tumor-associated macrophage-derived exosomes LINC01592 induce the immune escape of esophageal cancer by decreasing MHC-I surface expression;Journal of Experimental & Clinical Cancer Research;2023-11-02

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